Expand your personal and organisational skills at PLA2025USA

PLA Team — Fri, 13 Jun 2025 14:55:57 +0000

October 5-7, 2025, 20/15 Visioneers, a strategy and technology consulting firm in life sciences, is collaborating with The Paperless Lab Academy ® to conduct a transformative #PLA2025USA, in Orlando, Florida, USA.

The event will focus on education and learning the skills necessary to achieve next-generation transformation in your labs. Subject Matter Experts who care about improving laboratory processes and the quality of work life will be present and involved. 

This event will empower you to keep pace with the massive technological changes occurring in our industry.

Attend an Interactive, Hands-On Lab at Paperless Lab Academy® USA 2025

Building skills will help you thrive through change. And, as we’ve all witnessed, technology changes from business process management to AI and LLM are coming at us fast and furious. That’s why 20/15 Visioneers has put together four hands-on, interactive labs at The Paperless Lab Academy® USA, October 5-7, 2025.

include:

Discover Cheminformatics led by Subhas Chakravorty, Ph.D.

The powerful fusion of computational algorithms and chemical expertise transforming modern drug discovery. Learn to digitally encode chemical structures, explore chemical diversity and navigate chemical space, build predictive QSAR and machine learning models, and rapidly analyze bioactivity and ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) properties. Acquire practical skills with Python and RDKit, crucial for drug repurposing, lead optimization, and creating novel molecules with tailored properties. Explore these techniques using datasets derived from current marketed drugs. This structured course takes you from foundational concepts to advanced techniques, providing hands-on expertise essential for pharmaceutical research and molecular innovation.

AI Prompt Engineering for Scientists led by Raminderpal Singh, Ph.D.

Scientists regularly use tools like ChatGPT in work and home. But how do you power-house their use without any software skills? It’s called Prompt Engineering and it’s an art to get right. In this Lab, you’ll design the key parameters for a clinical 1 trial for an aging compound! We’ll set you up with best-practice methods, so you won’t be lost. But you will be challenged to build effective prompts. Everything you learn will be reusable back in your workplace (and at home).

Requirements Analysis and Business Process Mapping for Lab Optimization led by David Hessler & Semaphore Solutions

For thirty years ELN products have been used by research and development labs, and today the still often are not delivering on their promise. Why is this? One answer is that you first need a map of how data is generated, progresses, and is consumed inside and outside your labs. In this workshop, we take a hands-on approach to analysis of the subsystems which produce and analyze data, and we produce easy-to-understand business process mapping which defines the actors, systems, and data which make up the informatics ecosystem. If you want to really leverage the value of an ELN, you need a map which describes the high-quality touch points, and the high risk integrations.

Building No-Code LLM Workflows for Your Lab led by Raminderpal Singh, Ph.D.

AI adds to automation, and LLMs add to AI. But, without some insider know-how, integrating these tools into experimental workflows can be complex and lead to much technical debt. And when software IT folks are not available, it can be frustrating. In this lab, we’ll get our hands dirty learning about the world of “no-code” LLM tools. This will give you a clear understanding for how they can help you build and run better experiments. We will cover methods to ensure data privacy & security. Coming out of the lab, you will be energized and ready to try out different LLM-based tools in your experiments!

Track themes for Paperless Lab Academy® USA 2025 Conference

The #PLA2025USA Conference, October 6 and 7, 2025 includes:

In Silico-First Science in Discovery and Development (AI/ML)

Scientific Informatics & Scientific Data Management

Creating Smart and Smarter Labs

Attendance is limited to both the labs and the main conference!

DON´T MISS THE OPPORTUNITY

REGISTER NOW!

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First in series of post-event articles from Scientific Computing World

PLA Team — Fri, 21 Apr 2017 14:36:15 +0000

Robert Roe, deputy editor at Europa Science Ltd has recently published the first in series of articles covering the 5th edition of the PLA .

"Predicting the future of the laboratory" develops the presentations of our keynote speakers from Northwest analytics on one hand and Gartner on the other hand.

Louis Halvorsen, CTO at NWA and Michael Sandler, Vice president research at Gartner have both highlighted the importance for the laboratory to get on board with the latest technologies available today, in order to move from being the " black box" of the industry and become the rich data provider with strong insight within the company, become a key contributor to the business decisions at corporate level. While this might come one day, because it´s happening already as we speak at some pioneers companies that are anticipating the future, the needs are extremely basic at first instance.

Pat Pijanowski at LAbAnswer explained clearly that no transformational changes can really happen without a well designed and comprehensive data strategy. Agreed and aligned vocabulary along the company would be the foundation for a successful Master Data Management into which any other systems could find the related information required for them to execute their queries.

The future is already at our door with the internet of things and now, already introduced at the PLA2016, the Internet of Lab Things, IoLT, alongside is the new ecosystem converging to the Industrial Internet of things, IIoT.

The organisation wants to take the opportunity here to thanks again Scientific Computing World for supporting the Cocktail reception of the event which has been greatly appreciated by all the attendees.